ArticleTranslational psychiatry2023
The genetic architecture of human amygdala volumes and their overlap with common brain disorders.
Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- A multi-level exploration of the genetic basis between lung cancer and schizophrenia.Annals of general psychiatry · 2025Article
- Cross-ancestry and sex-stratified genome-wide association analyses of amygdala and subnucleus volumes.Nature genetics · 2025Article
- Potential common targets of music therapy intervention in neuropsychiatric disorders: the prefrontal cortex-hippocampus -amygdala circuit (a review).Frontiers in human neuroscience · 2025Review
- Shared genetic architecture between grip strength and cognitive function: insights from large-scale genome-wide cross-trait analysis.Frontiers in genetics · 2025Article
- A multilayered genetic structure analysis between inflammatory bowel disease and bone density/osteoporosis.PloS one · 2025Article
- The genetic architecture of the human hypothalamus and its involvement in neuropsychiatric behaviours and disorders.Nature human behaviour · 2024Article
- Distributed genetic effects of the corpus callosum subregions suggest links to neuropsychiatric disorders and related traits.Acta neuropsychiatrica · 2023Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The amygdala is a crucial interconnecting structure in the brain that performs several regulatory functions, yet its genetic architectures and involvement in brain disorders remain largely unknown. We carried out the first multivariate genome-wide association study (GWAS) of amygdala subfield volumes in 27,866 UK Biobank individuals. The whole amygdala was segmented into nine nuclei groups using Bayesian amygdala segmentation. The post-GWAS analysis allowed us to identify causal genetic variants in phenotypes at the SNP, locus, and gene levels, as well as genetic overlap with brain health-related traits. We further generalized our GWAS in Adolescent Brain Cognitive Development (ABCD) cohort. The multivariate GWAS identified 98 independent significant variants within 32 genomic loci associated (P < 5 × 10
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